A method for processing a face image. The method includes: detecting face key points in the face image; determining a face key point grid of the face image based on the face key points, wherein the face key point grid comprises a plurality of grid areas defined by connection lines between the face key points; generating a special effect face image by adding a special-effect material to a grid area in the face key point grid, wherein the special-effect material is pre-designed for representing a specified image effect; determining a processed face image by adjusting a face contour in the special effect face image based on preset liquify filter parameters, wherein the preset liquify filter parameters are determined based on the specified image effect; the processed face image has the specified image effect.

There is provided a generation apparatus, a generation method, a reproduction apparatus, and a reproduction method by which a display image generated by use of an omnidirectional image is made approximately uniform in image quality in all visual line directions. A down-conversion part down-converts an omnidirectional image. A perspective projection part generates multiple images by projecting on multiple two-dimensional planes the omnidirectional image mapped onto a 3D model. This disclosure may be applied, for example, to generation apparatuses that generate an omnidirectional image from captured images in six directions so as to generate low- and high-resolution streams of the omnidirectional image.

A virtual viewpoint image generation apparatus including: a first generation unit configured to generate, based on a plurality of captured images obtained by a plurality of first cameras, a first virtual viewpoint image in accordance with a position and direction of a virtual viewpoint; a determination unit configured to determine, in accordance with evaluation results of the first virtual viewpoint image, whether or not to generate a second virtual viewpoint image whose image quality is higher than that of the first virtual viewpoint image based on one or a plurality of captured images obtained by one or a plurality of second cameras; and a second generation unit configured to generate the second virtual viewpoint image whose image quality is higher than that of the first virtual viewpoint image in accordance with determination by the determination unit.

Techniques are described for implementing format configurations for multi-directional video and for switching between them. Source images may be assigned to formats that may change during a coding session. When a change occurs between formats, video coders and decoder may transform decoded reference frames from the first format to the second format. Thereafter, new frames in the second configuration may be coded or decoded predictively using transformed reference frame(s) as source(s) of prediction. In this manner, video coders and decoders may use intra-coding techniques and achieve high efficiency in coding.

An image processing device includes a viewpoint transformation and image generation unit that performs viewpoint transformation processing on an image. The viewpoint transformation and image generation unit is configured to: generate a first viewpoint image by the viewpoint transformation processing on an input image; generate, before generating a second viewpoint image in which a viewpoint and a visual line are different from those of the first viewpoint image, one or more intermediate viewpoint images in which a viewpoint and a visual line are intermediate between those of the first viewpoint image and those of the second viewpoint image; and generate the second viewpoint image.

An image processing method and apparatus, an electronic device, and a storage medium are provided. The method includes: performing detection on an image to be processed to determine a contour line of a target object in the image to be processed and a plurality of regions; determining, for a target region in the plurality of regions, first adjustment parameters of target pixel points according to one or more set parameters, where the target pixel points includes one or more first pixel points on the contour line and one or more third pixel points inside the contour line; determining, for the target region, second adjustment parameters of one or more second pixel points according to the first adjustment parameters; and adjusting the image to be processed according to the first adjustment parameters and the second adjustment parameters to obtain an adjusted image.

There are disclosed various methods, apparatuses and computer program products for video encoding and decoding. In some embodiments a first coded tile or sub-picture track and a second coded tile or sub-picture track are obtained. The first and second coded tile or sub-picture tracks represent a different spatial part of an input video sequence and have the same width and height in pixels. An indication of a first group of tile or sub-picture tracks that are alternatives for extraction is provided. The first group of tile or sub-picture tracks comprise the first and second coded tile or sub-picture tracks. An extractor track comprising a sample corresponding to a coded picture is created. The sample comprises an extractor, the extractor comprises a sample constructor comprising a reference to the first group of tile or sub-picture tracks. The reference is intended to be resolved by selecting one of the tile or sub-picture tracks in the first group to be a source of extraction, and the sample constructor is intended to be resolved by copying data by reference from the source of extraction.

A style of a digital image is transferred to another digital image of arbitrary resolution. A high-resolution (HR) content image is segmented into several low-resolution (LR) patches. The resolution of a style image is matched to have the same resolution as the LR content image patches. Style transfer is then performed on a patch-by-patch basis using, for example, a pair of feature transformswhitening and coloring. The patch-by-patch style transfer process is then repeated at several increasing resolutions, or scale levels, of both the content and style images. The results of the style transfer at each scale level are incorporated into successive scale levels up to and including the original HR scale. As a result, style transfer can be performed with images having arbitrary resolutions to produce visually pleasing results with good spatial consistency.

An ultrasound imaging apparatus includes an image generator configured to scan an object to obtain an ultrasound image; a neural network configured to generate a virtual ultrasound image based on matching medical images of different modalities; an image converting part configured to convert a medical image of a different modality, previously obtained by scanning the object, into the virtual ultrasound image by using the neural network; and a matching part configured to determine a position of a virtual probe based on the ultrasound image and the virtual ultrasound image, and configured to match the ultrasound image with the medical image that corresponds to the determined position of the virtual probe.

The stereoscopic recording and evaluation of a monitoring area frequently requires high computer powers. A control device (2) for a camera apparatus (3) for the stereoscopic recording of a monitoring area is proposed. In this case, recorded monitoring images (10, 11) have their resolution reduced in particular areas by a processing module and are converted into reduced images (16, 17). The reduced images have a high-resolution section (20) and a low-resolution section (19), wherein the high-resolution section (20) is a respective section showing a distant area of the monitoring area (5), the distant area being an area of the monitoring area (5) that is further away from the camera apparatus (3) than a bounding object area (G). An evaluation module (15) is used to stereoscopically evaluate the monitoring area (5) based on the first reduced image (16) and the second reduced image (17).